Symmetry- and Input-Cluster Synchronization in Networks
Abu Bakar Siddique, Louis Pecora, Joe Hart, Francesco Sorrentino

TL;DR
This paper investigates the stability of various cluster synchronization patterns in networks, revealing that a small set of Lyapunov exponents determines stability, with experimental validation in opto-electronic oscillator networks.
Contribution
It introduces a unified approach to analyze stability of symmetry- and input-cluster synchronization patterns using Lyapunov exponents.
Findings
Stability depends on a small set of Lyapunov exponents.
Applicable to symmetry and input-based clusters.
Experimental verification with opto-electronic oscillators.
Abstract
We study cluster synchronization in networks and show that the stability of all possible cluster synchronization patterns depends on a small set of Lyapunov exponents. Our approach can be applied to clusters corresponding to both orbital partitions of the network nodes (symmetry-cluster synchronization) and equitable partitions of the network nodes (input-cluster synchronization.) Our results are verified experimentally in networks of coupled opto-electronic oscillators.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
